Dive into the fundamentals of Linear Regression and Linear Models through a comprehensive video series spanning 1 hour and 30 minutes. Learn how to utilize continuous and categorical variables to predict continuous outcomes, exploring concepts such as least squares fitting, multiple regression, t-tests, and ANOVA. Gain practical skills by applying these techniques in R, understanding design matrices, and interpreting key statistical measures like p-values and R-squared. Master one of statistics' most powerful tools for data analysis and prediction.
Overview
Syllabus
StatQuest: Fitting a line to data, aka least squares, aka linear regression..
StatQuest: Linear Models Pt.1 - Linear Regression.
StatQuest: Linear Regression in R.
StatQuest: Linear Models Pt.1.5 - Multiple Regression.
StatQuest: Linear Models Pt.2 - t-tests and ANOVA.
Linear Models Pt.3 - Design Matrices.
StatQuest: Multiple Regression in R.
StatQuest: Linear Models Pt.3 - Design Matrix Examples in R.
StatQuest: P Values, clearly explained.
StatQuest: R-squared explained.
Taught by
StatQuest with Josh Starmer
